/*
 * Copyright (c) 2017, NVIDIA CORPORATION.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

 #ifndef HASH_ALLOCATOR_CUH
 #define HASH_ALLOCATOR_CUH
 
 #include <new>
 
 #include <rmm/mr/device/device_memory_resource.hpp>
 #include <rmm/mr/device/managed_memory_resource.hpp>
 #include <rmm/mr/device/per_device_resource.hpp>
 
 template <class T>
 struct managed_allocator {
   typedef T value_type;
   rmm::mr::device_memory_resource* mr = new rmm::mr::managed_memory_resource;
 
   managed_allocator() = default;
 
   template <class U>
   constexpr managed_allocator(const managed_allocator<U>&) noexcept
   {
   }
 
   T* allocate(std::size_t n, cudaStream_t stream = 0) const
   {
     return static_cast<T*>(mr->allocate(n * sizeof(T), stream));
   }
 
   void deallocate(T* p, std::size_t n, cudaStream_t stream = 0) const
   {
     mr->deallocate(p, n * sizeof(T), stream);
   }
 };
 
 template <class T, class U>
 bool operator==(const managed_allocator<T>&, const managed_allocator<U>&)
 {
   return true;
 }
 template <class T, class U>
 bool operator!=(const managed_allocator<T>&, const managed_allocator<U>&)
 {
   return false;
 }
 
 template <class T>
 struct default_allocator {
   typedef T value_type;
   rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource();
 
   default_allocator() = default;
 
   template <class U>
   constexpr default_allocator(const default_allocator<U>&) noexcept
   {
   }
 
   T* allocate(std::size_t n, cudaStream_t stream = 0) const
   {
     return static_cast<T*>(mr->allocate(n * sizeof(T), stream));
   }
 
   void deallocate(T* p, std::size_t n, cudaStream_t stream = 0) const
   {
     mr->deallocate(p, n * sizeof(T), stream);
   }
 };
 
 template <class T, class U>
 bool operator==(const default_allocator<T>&, const default_allocator<U>&)
 {
   return true;
 }
 template <class T, class U>
 bool operator!=(const default_allocator<T>&, const default_allocator<U>&)
 {
   return false;
 }
 
 #endif